code: def copy_array(
      x: Union[tf.Tensor, tf.Variable, tf.TensorArray],
      *,
      to_ivy_array: bool = True,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      if isinstance(x, tf.TensorArray):
          x_wrapped = x.stack()
          y = tf.TensorArray(x.dtype, x.size())
          x = y.unstack(ivy.copy_array(x_wrapped))
      else:
          x = tf.identity(x)
      if to_ivy_array:
          return ivy.to_ivy(x)
      return x
  
imports: import numpy
  from numbers import Number
  from typing import Union, List, Optional, Sequence, Tuple
  import tensorflow
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.ivy.creation import _asarray_to_native_arrays_and_back, _asarray_infer_device, _asarray_infer_dtype, _asarray_handle_nestable, NestedSequence, SupportsBufferProtocol, _asarray_inputs_to_native_shapes
  from .None import backend_version
label_desc: Use image node_id 19 for calling a global function with example usage: copy_array(x) and returns: x, ivy